Instructions to use shawhin/gemma-3-1b-tool-use with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawhin/gemma-3-1b-tool-use with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shawhin/gemma-3-1b-tool-use", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shawhin/gemma-3-1b-tool-use: direct link, hf CLI and curl.
- Browser
- Download file 6.1 kB
-
https://huggingface.co/shawhin/gemma-3-1b-tool-use/resolve/main/training_args.bin
- Command line
-
hf download hf://shawhin/gemma-3-1b-tool-use/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shawhin/gemma-3-1b-tool-use/resolve/main/training_args.bin
6.1 kB
- Xet hash:
- 50c818aeb39c79ceb3332a5f6cd7dc995f9a61eb0a5a9dbb29f09a941fa397f0
- Size of remote file:
- 6.1 kB
- SHA256:
- 62983744efa7871b54d4a0535c1bc41278ae4a713ba1da490ad978e67c697e19
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